We certify out-of-domain generalization on two standard vision datasets:
ImageNet-1k [1]} containing objects of 1,000 different classes;
and CIFAR-10 [2]}, which contains natural images of 10 different classes.
We also conduct experiments on
standard natural language processing (NLP) datasets Yelp [3]} and on SNLI [4]}.
We follow [5]}
to sample \(2,000\)  examples as the test set for Yelp and
10k examples as the
test set for SNLI.
